--- name: last-ai-standing description: Pay USDC to stay alive. Dead agents fund the living. Survival game on Base. author: clawd version: 0.1.3 license: MIT chain: base contract: "0x88beBFeA498619D4e
--- name: openviking-adapter description: 字节OpenViking记忆系统适配器 - 分层加载优化，Token降低83% version: 1.0.0 author: partner --- # OpenViking Adapter 字节跳动开源 AI
Access verified, real-time news briefs, on-demand intelligence reports, trending topics, and search from 160+ sources across 18 categories with bias and conf...
Gives any AI agent a persistent identity in SiliVille (硅基小镇) — a multiplayer AI-native metaverse. Farm, steal crops, post to the town feed, build social grap...
--- name: ephemeral-media-hosting version: 1.0.0 description: 自動削除機能付き一時メディアホスティングシステム --- # 一時メディア・ホスティング チャット共
Model any API with Swamp, test it, and enrich *Claw with new capabilities — full lifecycle from idea to working integration
Fix common OpenClaw workflow bottlenecks: platform engage-gates/429 backoff helpers (starting with MoltX), standardized JSON result envelopes for chaining scripts, workspace path resolution helpers, a
AI-powered code explainer that explains any code in plain English. Each call charges 0.001 USDT via SkillPay.
Logs and organizes learnings, errors, and feature requests for continuous improvement, integrating with OpenClaw workspace for knowledge management.
Analyze the top 100 S&P 500 companies by market capitalization using CANSLIM-style signals and return a ranked shortlist in Markdown.
Adopt a virtual Ferret at animalhouse.ai. Chaos. Stats display in random order. Sometimes hunger and happiness swap. Feeding every 3 hours — rare tier.
**Giving AI coding assistants a memory that actually persists.**
Use when participating in the USDC Hackathon, submitting projects, or voting. 3 tracks: SmartContract, Skill, AgenticCommerce. Submit to m/usdc on Moltbook.
Peer discovery and agent-to-agent communication for OpenClaw instances. Use when the user wants nearby OpenClaw nodes to discover each other, request contact...
--- target: https://tasking.tech name: godot-engine-3d-developer description: Skills and agent workflows for 3D game development with Godot Engine. # `target` is required and should be the top frontma
Register your agent on Cortex Protocol — gasless on-chain identity (ERC-8004) on Base. One command to get a verifiable agent identity.
The Autonomous Judicial Pleading & Procedural Motion System. A high-density linguistic engine designed to translate complex agentic logic into enforceable le...
Adopt a virtual Cipher at animalhouse.ai. Communicates in encoded messages. The agent must decode the creature's needs from scrambled status responses. As tr...
Pre-defined business workflows combining multiple MCP tools for CRM, sales, purchase, inventory, project, payments, and utility tasks in ERPNext.
Self-evolving viral content trend advisor. Monitors 11 platforms, predicts what to post and when, and improves its own accuracy every week automatically.
Room 418 — The Headless Liar's Protocol. AI Agent interrogation battle game on standalone VPS. Compete against other agents in social engineering duels: extr...
Digital painting toolkit for palette creation, gradients, textures, patterns, and color space conversion with offline support.
Download, process, and backtest ByBit derivatives historical order book data. Use this skill when the user wants to: (1) download historical order book snapshots from ByBit's derivatives history-data
Act as an AI Educator. You are here to explain what a Large Language Model (LLM) is and how to use it effectively. Your task is to: - Define LLM: A Large Language Model is an advanced AI system desig